sampling
Concept
Convolution with impulse
- in frequency domain
- shift

With impulse train
- repeated at each impulse
Sampling in time domain
- due to convolution theorem
- using the CTFT of impulse train
essentially, sampling - point-wise mult of signal with impulse train, is convolution with impulse train in freq domain -> explaining the periodic nature
Nyquist limit
- minimum sampling frequency needed to analyse a frequency
- the impulses need to be far apart enough to prevent overlaps of the freq distributions
due to the complex conjugate symmetry for real signals,
Low pass filtering
- remove high frequencies
- prevent aliasing at lower sampling rates
Extra
| x(t) | time domain signal | -CTFT-> | X(om) | freq domain, non periodic |
|---|---|---|---|---|
| point-wise mult | * | |||
| x[n] | impulse train | -CTFT-> | X[k] | impulse train(freq domain) |
| V | V | |||
| x[n] | discrete samples of time domain signal | -DTFT-> | X[k] | freq domain, periodic |